Development of Bacteria and Benthic Total Maximum Daily Loads

Benham, Brian Leslie; Brannan, Kevin M.; Yagow, Gene; Zeckoski, Rebecca W.; Dillaha, Theo A.; Mostaghimi, Saied; Wynn, J.

doi:10.2134/jeq2004.0414

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…The NRC (2008) estimates wetland construction for water storage to range from $100 to $3,000 per acre, while Randolph et al (2006) estimated stormwater and sediment controls added between $1,500 and $9,000 to the cost of new dwellings constructed in North Carolina. Stormwater also entrains Benham et al 2005) and cause economic loss from the closure of recreational areas (e.g., Rabinovici et al 2004). Houck (1999) estimated the costs for the development and implementation of TMDLs to be approximately $4 billion per state.…”

Section: Discussionmentioning

confidence: 99%

Calculating the Ecosystem Service of Water Storage in Isolated Wetlands using LiDAR in North Central Florida, USA

Lane

D’Amico

2010

Wetlands

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We used remotely-sensed Light Detection and Ranging (LiDAR) data to estimate potential water storage capacity of isolated wetlands in north central Florida. Data were used to calculate the water storage potential of >8500 polygons identified as isolated wetlands. We found that isolated wetlands in this area stored 1619 m 3 /ha on average, with a median measure of 876 m 3 /ha. Significant differences in average storage capacity were found depending on wetland type, ranging from 1283 m 3 /ha in palustrine scrub-shrub wetlands to 2906 m 3 /ha in palustrine aquatic bed wetlands. Our study tested LiDAR-derived volume measures and volumes calculated using currently available equations in landscapes with differing surficial geology formations (e.g., clayey sand, limestone) and found that accuracy improved when basin morphology, a function of near-surface geology, was included. An exponential equation was developed that accurately correlated isolated wetland area and volume in our study area, but overestimated volume by an average of 45% when tested with a small independent dataset from the same ecoregion. Results from this study can be used in hydrologic modeling at the landscape scale to estimate ecosystem services and may prove useful in determining the significant nexus between isolated wetlands and navigable waters.

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Section: Discussionmentioning

confidence: 99%

Calculating the Ecosystem Service of Water Storage in Isolated Wetlands using LiDAR in North Central Florida, USA

Lane

D’Amico

2010

Wetlands

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“…The total WAT nonpoint source impact score of 1.02 x 10 17 for fecal coliforms under current conditions corresponds to a unit area load of 0.27 x 10 12 cells/acre/year for the 378,618 acre study area. Although WAT's results are at the upper end of the reported range for Milwaukee River watersheds, other studies, such as Benham et al (2005) show unit area loads as high as 1.9 x 10 12 cfu/acre/year for heavily agricultural areas. The possibility that WAT estimates of nonpoint source impacts are somewhat on the high side is consistent with Phase I WAT assumptions as the methodology does not incorporate loss processes such as die-off and losses during overland transport.…”

Section: Evaluation Of Resultsmentioning

confidence: 77%

A Spatial Tool for Watershed Characterization and Assessment in Northern Kentucky

Gibson¹,

Slawecki²,

Nemura³

et al. 2007

Proc Water Environ Fed

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Sanitation District No. 1 (District or SD1) serves 33 communities in Boone, Campbell, and Kenton Counties of Northern Kentucky. The District entered into a Consent Decree with the Kentucky Environmental and Public Protection Cabinet and the U.S. Department of Justice (on behalf of the US Environmental Protection Agency) to address sewage overflows within its jurisdiction. This Consent Decree is the country's first to be based on adaptive watershed management (Consent Decree, 2007).Some of the necessary activities to achieve the goals of the Consent Decree include the characterization of in-stream water quality; ranking of water quality problems and pollutant sources within 16 watersheds and 128 subwatersheds; and prioritization of hundreds of corrective design/build projects. The District has implemented a spatial analysis system called the Watershed Assessment Tool (WAT) to support these activities across its 580 square-mile jurisdiction.The WAT acts as a gateway to source information and a mechanism for identification and prioritization of mitigation opportunities. It can be used to assess relative impacts of pollutants on water quality across subwatersheds and watersheds and to examine relative contributions of different sources. WAT results can be combined with priority rankings from the District's parallel infrastructure assessment to prioritize the planning of watershed and infrastructure controls.The District has developed WAT to serve as the foundation for characterizing pollutant loads across 128 subwatersheds and to inform priority ranking of sources. WAT also serves as the organizing foundation of information to support the development of more detailed watershed models as necessary to calculate compliance with water quality standards.

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“…The current version may be run for a single basin or aggregated basin; however, spatial flow routing is not yet available. Although GWLF has been widely used for hydrology and non-point source pollution (ShuKuang et al 2006;Benham et al 2005), a limited number of studies have been reported on the application of CANWET in Canada (Singh et al 2007;Boston et al 2006aBoston et al , 2006bWatts et al 2005). A flow chart that illustrates how the CANWET model works is presented in Fig.…”

Section: Fig 2 Location and Land Use Of Upper Canagagigue Creek Watmentioning

confidence: 99%

Evaluation of CANWET model for hydrologic simulations for upper Canagagigue Creek watershed in southern Ontario

Singh¹,

Rudra²,

Gharabaghi³

2012

Can. Biosyst. Eng.

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Evaluation of CANWET model for hydrologic simulations for upper Canagagigue Creek watershed in southern Ontario. Canadian Biosystems Engineering/Le génie des biosystèmes au Canada 54:1.7-1.18. This paper discusses the uncertainty associated with the dominant hydrologic processes for watershed-scale water budget calculations in a rural southern Ontario watershed. Very little field data is available that would help in direct calculation of spatial and temporal variation of some of the key components of the water budget, including evapotranspiration and groundwater recharge on a watershed scale. Therefore, the Ontario Ministry of the Environment has recommended the use of a suite of hydrologic models for water budget calculations. The methodologies behind these models vary in procedural complexities and spatial and temporal resolutions. In the current study CANWET (Canadian Nutrient and Water Evaluation Tool) model, which uses relatively simplified approach as compare to other physically based models, was evaluated for water balance studies in southern Ontario. The model was applied to the Upper Canagagigue Creek watershed of the Grand River basin. The model was run for a ten-year period (April 1990 -March 2000 and outputs from the hydrologic simulations were used to analyze streamflow hydrographs and water budget components on annual, seasonal, monthly, and daily time frames. The model partitioned the annual water budget into 60% evapotranspiration, 12% surface runoff, and 28% sub-surface flow. These values are supported by the long-term annual observed data and by literature. The analysis of water balances on seasonal and monthly basis revealed that the snowmelt component of the model, which is critical for winter and spring hydrology, requires improvement. The snowmelt equation used in the model is simplified degree-day equation. This study shows that in the Canagagigue Creek watershed, more than 90% of precipitation in summer months is lost to evapotranspiration and more than half of precipitations in the winter/spring months recharge groundwater. The CANWET model was found to be a useful tool in calculation of watershed-scale water budget components reasonably well on annual (R 2 = 0.89), seasonal (R 2 = 0.68), and monthly (R 2 = 0.68) time frames.

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Development of Bacteria and Benthic Total Maximum Daily Loads

Cited by 22 publications

References 3 publications

Calculating the Ecosystem Service of Water Storage in Isolated Wetlands using LiDAR in North Central Florida, USA

Calculating the Ecosystem Service of Water Storage in Isolated Wetlands using LiDAR in North Central Florida, USA

A Spatial Tool for Watershed Characterization and Assessment in Northern Kentucky

Evaluation of CANWET model for hydrologic simulations for upper Canagagigue Creek watershed in southern Ontario

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